Member of Technical Staff - Simulation (Physics & Reinforcement Learning), Frontier AI Robotics

About The Team

At Frontier AI & Robotics (FAR), we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.

About the role

We are seeking a Member of Technical Staff Simulation Engineer to join our AI robotics research team developing foundation models for robotics. You will rapidly develop 3D physics-based and photorealistic simulations alongside scientists to enable training large-scale machine learning models.

Key job responsibilities

• Develop simulations for reinforcement learning, closed-loop simulations and synthetic data generation
• Implement essential robotics features, including accurate modeling of sensors, actuators, and controllers
• Build real-to-sim workflows for dynamic environments and robotics tasks
• Implement simulation features to minimize sim-to-real gaps through domain randomization and system identification
• Create asset toolchains supporting industry-standard formats (URDF, MJCF, USD)
• Collaborate closely with a team of ML researchers to enable large-scale robotics training pipelines

Basic Qualifications

• 5+ years of non-internship professional software development experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 5+ years of programming with at least one software programming language experience
• Experience as a mentor, tech lead or leading an engineering team
• Bachelor's degree in computer science or equivalent
• Experience leading engineering teams as a mentor or tech lead
• Expertise in Python, C++ and CUDA programming
• Experience with TensorRT or similar ML optimization frameworks
• Ability to optimize ML models for production

Preferred Qualifications

• Expertise in NVIDIA's ML stack (cuDNN, CUDA Graph, etc.)
• Experience with ML compilers (ONNX Runtime, TVM, etc.)
• Experience with transformer model optimization
• Background in performance profiling and optimization
• Experience working directly with research teams
• Ability to build robust monitoring systems
• Experience with large-scale ML serving systems

Pay

The base pay for this position ranges from $150,000/year in our lowest geographic market up to $300,000/year in our highest geographic market. Pay is based on a number of factors, including market location, and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.